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Specify ALS hyperparameters

You're now going to build your first implicit rating recommendation engine using ALS. To do this, you will first tell Spark what values you want it to try when finding the best model.

Four empty lists are provided below. You will fill them with specific values that Spark can use to build several different ALS models. In the next exercise, you'll tell Spark to build out these models using the lists below.

Diese Übung ist Teil des Kurses

<Kurs>Building Recommendation Engines with PySpark</Kurs>
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Übungsanweisungen

  • Fill in the following lists with the following values:
    • ranks = [10, 20, 30, 40]
    • maxIters = [10, 20, 30, 40]
    • regParams = [.05, .1, .15]
    • alphas = [20, 40, 60, 80]

Interaktive praktische Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Complete the lists below
ranks = [____, ____, ____, ____]
maxIters = [____, ____, ____, ____]
regParams = [____, ____, ____]
alphas = [____, ____, ____, ____]
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